|
|
Absolute deviation, 绝对离差
$ z6 R. z( p5 b3 y2 IAbsolute number, 绝对数$ h, C. n0 Q f) v( g# X% T
Absolute residuals, 绝对残差" p7 J: e1 l8 x( w
Acceleration array, 加速度立体阵
4 F( T6 O) ?- hAcceleration in an arbitrary direction, 任意方向上的加速度: l+ k" y2 T- B5 A
Acceleration normal, 法向加速度8 `5 p2 l) ]7 T/ n( B. p
Acceleration space dimension, 加速度空间的维数
. w0 T% P7 W, ^0 X" A( V# pAcceleration tangential, 切向加速度
* R0 a: R$ l0 r8 EAcceleration vector, 加速度向量0 ?+ c+ m" X$ I. C
Acceptable hypothesis, 可接受假设$ Y' H% K5 i% o& D3 u/ y! W
Accumulation, 累积 t, n$ Y8 j7 ^" v: ~0 y" x) S
Accuracy, 准确度
4 B$ k# y! y7 }: \Actual frequency, 实际频数+ X7 j+ n: P3 v' b$ `+ t4 Y
Adaptive estimator, 自适应估计量! o& U/ ^4 o# n
Addition, 相加- O: @# Z8 O: {% l Z
Addition theorem, 加法定理* S+ f; v \$ L1 o8 K$ d) H
Additivity, 可加性6 B: w( H( t5 _: Z2 W
Adjusted rate, 调整率
) ]$ e% _, j4 s+ b; nAdjusted value, 校正值! y0 B# _7 @" f% h6 Q# J" Q% ^
Admissible error, 容许误差
4 s0 g q! y% Y! c, GAggregation, 聚集性$ P/ ]" [6 o: V/ G* ]7 s- g
Alternative hypothesis, 备择假设
9 V Q- V* d- d2 h7 z( NAmong groups, 组间
% M6 A. [) z0 e" s8 wAmounts, 总量
) v1 @* d& j3 Q" B1 m7 u. WAnalysis of correlation, 相关分析
U3 _( R; x9 J; F% }Analysis of covariance, 协方差分析
. l) m% M: ^ Q5 Y( E& \Analysis of regression, 回归分析& H: A) n3 c R0 u# F$ \- }2 k# |
Analysis of time series, 时间序列分析4 X4 @' ^$ X4 X9 ^
Analysis of variance, 方差分析
: _4 S. |3 F, z+ ^+ T RAngular transformation, 角转换9 K* M) k5 f/ x% ^2 J) M
ANOVA （analysis of variance）, 方差分析
7 B+ c# I# b }! gANOVA Models, 方差分析模型
, h6 Q( J0 `: x1 f* K: ^Arcing, 弧/弧旋
N/ ~* K7 T+ y: K8 \Arcsine transformation, 反正弦变换8 \+ z8 j' k1 D- a2 b
Area under the curve, 曲线面积8 Q; C8 o& `' ^3 {
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 6 K4 N& F3 c* @$ M
ARIMA, 季节和非季节性单变量模型的极大似然估计 ) Y* B/ ]8 i& N( @. t- J* p
Arithmetic grid paper, 算术格纸
, V) E" J6 i$ LArithmetic mean, 算术平均数+ n% T0 f; t: H# R
Arrhenius relation, 艾恩尼斯关系
# P4 c# Y- Z1 ^ u- sAssessing fit, 拟合的评估/ q/ V! J& G3 p* u
Associative laws, 结合律
% F$ j5 y# f2 r6 LAsymmetric distribution, 非对称分布& \, `+ t2 h E- H0 ~
Asymptotic bias, 渐近偏倚
7 E/ k* p/ B3 y' u* b! d, k" E, m4 }Asymptotic efficiency, 渐近效率
. E3 D X$ m! o1 e7 O" n2 jAsymptotic variance, 渐近方差/ ~$ a! J3 J- r
Attributable risk, 归因危险度4 u/ f( \, d2 g8 O! V, P
Attribute data, 属性资料* x& S9 Z6 F8 F
Attribution, 属性4 [. a+ k% R; o: @+ L
Autocorrelation, 自相关+ M% J5 G! s1 T
Autocorrelation of residuals, 残差的自相关2 Q: K! l2 T" ~2 I/ L6 D
Average, 平均数
6 u N% |4 E2 f* z3 pAverage confidence interval length, 平均置信区间长度. Y: e& B) N6 \* ?) m. i# ^+ [
Average growth rate, 平均增长率
$ k( s+ j' D9 q5 I: Z8 W8 T+ ~Bar chart, 条形图2 y! u2 ?. j8 E
Bar graph, 条形图, } R& G$ b! Y4 `/ F$ Q! t
Base period, 基期1 w ]* F( L1 f
Bayes' theorem , Bayes定理
5 O( h! q* C9 M& p6 }6 YBell-shaped curve, 钟形曲线
/ H! ]# N9 p, I# QBernoulli distribution, 伯努力分布
6 {: j1 H; Q. W& N6 ^+ MBest-trim estimator, 最好切尾估计量
7 j1 `( N9 z r- u8 C. r! ABias, 偏性
8 o/ B. u. x& ]& i+ BBinary logistic regression, 二元逻辑斯蒂回归
4 \- D g4 W7 U5 u1 ?* OBinomial distribution, 二项分布) \6 S* `* I1 P' b1 e7 q2 j' j
Bisquare, 双平方4 e6 `2 T+ x9 Z6 g5 I4 I
Bivariate Correlate, 二变量相关
9 u- R9 h* U' Q# T6 n" J, K$ X; eBivariate normal distribution, 双变量正态分布. c! D. e) i |. f( s
Bivariate normal population, 双变量正态总体
3 i+ I3 ]3 z& jBiweight interval, 双权区间
9 Y0 a+ @$ P7 B% l- vBiweight M-estimator, 双权M估计量
- b. ^( q6 v9 x3 Z! t0 qBlock, 区组/配伍组3 t3 ]5 Z2 J9 e5 I2 p- ~. Y# p
BMDP(Biomedical computer programs), BMDP统计软件包" {1 h$ M9 z( t2 \* g
Boxplots, 箱线图/箱尾图
+ k5 _+ h. q2 w- y$ fBreakdown bound, 崩溃界/崩溃点 z$ p/ V/ R$ }- n* P' @% x6 n
Canonical correlation, 典型相关4 j/ c! z( r* l+ Z9 U
Caption, 纵标目
9 W+ e+ F7 h4 k+ {0 {3 i& K% |) |4 |Case-control study, 病例对照研究
1 o9 ]. ]& M9 B* VCategorical variable, 分类变量9 H* |+ j" `! k' \
Catenary, 悬链线
" b) [' k% v: m8 P* CCauchy distribution, 柯西分布$ c/ o! `6 K* B8 U5 K z
Cause-and-effect relationship, 因果关系
0 I$ E$ Q: K4 B( H7 U* [( T( wCell, 单元
, i" r+ R" J5 R3 F1 N' QCensoring, 终检6 V6 T$ v- f4 s- ?1 D, _
Center of symmetry, 对称中心; |0 ~: o, N4 c( q. m( h
Centering and scaling, 中心化和定标8 q3 t! u/ j6 ]! c% M- |! _2 _
Central tendency, 集中趋势
; b4 [6 R4 b6 i: U4 a7 z6 |' yCentral value, 中心值7 L+ z: J$ J0 @2 [3 \
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
~+ k0 o: X* C+ Q% LChance, 机遇/ Z, }: Z8 O8 V2 c- j# }
Chance error, 随机误差5 l% S, {$ l3 Z
Chance variable, 随机变量
& u7 H5 Y, h- i8 OCharacteristic equation, 特征方程
% B6 X8 V2 K9 w$ kCharacteristic root, 特征根( A$ \3 m; C7 O$ Z& k4 ~+ d* d
Characteristic vector, 特征向量4 x! I6 W9 X' r4 v
Chebshev criterion of fit, 拟合的切比雪夫准则1 y5 ^) [, C- f7 u7 w& e
Chernoff faces, 切尔诺夫脸谱图( d: C$ b5 p3 z6 S# t# E+ g
Chi-square test, 卡方检验/χ2检验# r9 T7 J0 c; x1 @
Choleskey decomposition, 乔洛斯基分解7 W+ L |. n$ A2 Z4 q- m
Circle chart, 圆图 6 s) @; g( Q; H; I0 _4 F/ b
Class interval, 组距6 O: U, E6 G; h( A8 q
Class mid-value, 组中值+ H) c2 U( J( r! K
Class upper limit, 组上限) K9 s4 [# n' \* H* B0 b( y
Classified variable, 分类变量
_2 c2 y! Q; w; v B( ^: I& FCluster analysis, 聚类分析& R1 _9 d0 A# h/ b1 r
Cluster sampling, 整群抽样8 k+ t! o m# B1 \4 w3 | Q1 p3 D9 p- y
Code, 代码. n% I, j3 f5 T+ A* {
Coded data, 编码数据
8 E+ V9 g5 M$ f) Q! sCoding, 编码
3 d5 X$ v/ P* J& |( T8 e- b) \& fCoefficient of contingency, 列联系数9 O { t {, {7 {8 D9 [6 w
Coefficient of determination, 决定系数
9 H& @ `( S( M) OCoefficient of multiple correlation, 多重相关系数
0 W2 }! n* j# }8 d5 M. N# b# tCoefficient of partial correlation, 偏相关系数
0 g& |7 m0 L8 a LCoefficient of production-moment correlation, 积差相关系数
8 B5 H! j5 i3 h0 w, ?4 w. ACoefficient of rank correlation, 等级相关系数8 z9 B8 v. `2 b+ v1 o6 l$ {
Coefficient of regression, 回归系数9 E: K9 e4 P9 Q( q) w: F
Coefficient of skewness, 偏度系数
- j; X" b5 L5 S0 `' J# x+ E0 z, VCoefficient of variation, 变异系数
1 I4 B0 ~3 m. q% G8 JCohort study, 队列研究7 G" _0 q9 A" r: D8 K' ?
Column, 列/ B# b& w. |$ X1 E! n
Column effect, 列效应
8 Z$ d! E' n5 H; YColumn factor, 列因素. q0 @) P. s& N
Combination pool, 合并4 Q, D! |5 O, M F* e; S$ W+ r
Combinative table, 组合表/ W6 M" o8 Q) e. P
Common factor, 共性因子
/ w6 B* V# U4 Q1 B. i& Z' nCommon regression coefficient, 公共回归系数6 e: W# A& R" h, i! K
Common value, 共同值 {8 A& ~. J0 U& |* D' P
Common variance, 公共方差8 c$ u" i" p, e5 @6 L% A5 j6 s
Common variation, 公共变异
8 ^% m! f' S# q! f/ x: S: b, iCommunality variance, 共性方差
% q+ P# \. O% h7 H: d$ p' oComparability, 可比性/ M: C9 q) @. p$ m2 n( M
Comparison of bathes, 批比较
) t+ U4 l, k& D7 jComparison value, 比较值
; d& A1 Z, H- q) P6 T% q% |$ A0 P \Compartment model, 分部模型
$ B8 m- O' `: B) ^6 U4 wCompassion, 伸缩
. I) \1 s- d( M1 f5 X, y# x' o. gComplement of an event, 补事件
7 g0 _4 Z2 }/ W5 q. SComplete association, 完全正相关# x# f& A8 v" W
Complete dissociation, 完全不相关* U& N: y% y5 z+ ?, k
Complete statistics, 完备统计量) O' H& _* q }! N* A0 N f. A
Completely randomized design, 完全随机化设计( M' U$ {2 a1 d- x2 ]2 R, m7 Y) _" O
Composite event, 联合事件" e1 N! w% `* ]' g
Composite events, 复合事件
, D ~' _7 _9 l4 m* C, E5 O$ wConcavity, 凹性
T8 P n0 M( IConditional expectation, 条件期望
: x# l; b5 I* L* lConditional likelihood, 条件似然
. i0 s/ M2 Q) _% eConditional probability, 条件概率
' _) ^( C/ _% T8 ?) IConditionally linear, 依条件线性
; N/ _6 @& b+ B6 uConfidence interval, 置信区间6 t8 ]; S6 @1 u7 e
Confidence limit, 置信限! R& O' t3 F0 L9 @; R0 u4 {& f; p
Confidence lower limit, 置信下限
0 e( t# X( ?: m) W0 ^ G3 I$ C' xConfidence upper limit, 置信上限+ Y% V# \: H9 [2 {2 Y% y/ f! {
Confirmatory Factor Analysis , 验证性因子分析9 n. P+ D/ ?* B7 y |; t4 a
Confirmatory research, 证实性实验研究. v$ c& ?: f7 t+ L
Confounding factor, 混杂因素
* q9 N" }" g) w# g( B& d0 XConjoint, 联合分析3 @- [& [1 D. v! A$ c7 A$ W7 ^1 ?& ~
Consistency, 相合性
! A% o; m9 X' n: H( nConsistency check, 一致性检验# y+ P+ S4 q$ g$ i' f. z x
Consistent asymptotically normal estimate, 相合渐近正态估计
# T: N9 t" [2 ?; U, A9 U& XConsistent estimate, 相合估计' ]; k( ], Y8 m! [! g$ E
Constrained nonlinear regression, 受约束非线性回归, U; e( l* z& A! R6 G) A2 S
Constraint, 约束
3 d B/ |8 r% }. Q8 h3 LContaminated distribution, 污染分布! | t: E. E5 K# |3 O; A4 c
Contaminated Gausssian, 污染高斯分布* Q3 A E4 w6 L, u1 W* k
Contaminated normal distribution, 污染正态分布" u5 I- m* u! s! e: w
Contamination, 污染. g$ [* i7 w9 x, e0 m) Q
Contamination model, 污染模型
1 O. U% m1 o% q8 M! X0 wContingency table, 列联表 K7 D2 K1 U/ b
Contour, 边界线" O9 q* r6 n5 O* O2 b' M, _
Contribution rate, 贡献率
1 Z, K* u2 t3 q2 k- gControl, 对照4 K# i8 _7 p \7 {0 J' T
Controlled experiments, 对照实验
Z9 Y8 c! O- x" WConventional depth, 常规深度8 [. |+ ^+ k, H- Y& p" Q3 B
Convolution, 卷积( M; \; f( Q- ?! d% |2 b8 c
Corrected factor, 校正因子' K6 T- t3 K# v3 i' d* ]
Corrected mean, 校正均值
; w% v4 @3 K3 A7 h, }Correction coefficient, 校正系数/ H6 V8 B; V4 p
Correctness, 正确性
, y0 U( j7 x+ F9 D$ o7 mCorrelation coefficient, 相关系数* I. P1 d! t/ [( S! H" ^
Correlation index, 相关指数
6 l2 u$ t5 P. t3 N. i) A' |Correspondence, 对应8 n' y! _& V5 s B: m+ |; u# V
Counting, 计数
, X/ z8 x# Q' L/ {! Q T2 qCounts, 计数/频数; }, l* H& x, S( Z$ S
Covariance, 协方差9 n2 t' e C, `0 s
Covariant, 共变
% g& N0 ?( G+ ~5 `: S7 C' d( w' hCox Regression, Cox回归( A. v+ P$ w3 B: L. T# `
Criteria for fitting, 拟合准则
" _8 d) y0 R7 TCriteria of least squares, 最小二乘准则1 l' S. O8 w( s5 R
Critical ratio, 临界比
3 d$ ~8 _8 d2 _* ^ _2 |: H; y3 eCritical region, 拒绝域
$ d& X& x( I! E, }8 C+ VCritical value, 临界值
% r+ Z& w8 J: E# h' A$ mCross-over design, 交叉设计( n W9 W3 M+ t- ^1 F
Cross-section analysis, 横断面分析2 s, b5 q8 C8 ]
Cross-section survey, 横断面调查2 Q; O3 `3 ?* h. Z* q
Crosstabs , 交叉表 4 l8 K9 [5 P0 n
Cross-tabulation table, 复合表& k1 A8 }: \8 a$ T4 q+ X
Cube root, 立方根
S9 X5 A. z9 ICumulative distribution function, 分布函数9 c/ e2 j2 v% P+ r N
Cumulative probability, 累计概率
( W+ a' ?$ a) hCurvature, 曲率/弯曲3 t2 h* `2 ]' w- H
Curvature, 曲率
; a4 k4 N: W9 B- |3 jCurve fit , 曲线拟和 ( g( L6 s- i( N- t5 K% K/ }. | j
Curve fitting, 曲线拟合) e. h2 `5 I" b- z0 N
Curvilinear regression, 曲线回归
) J0 q" n: x% l# b& Z/ ?+ \Curvilinear relation, 曲线关系# l0 B& j% o X" [/ @0 W
Cut-and-try method, 尝试法
# n0 ^. f: @& Y5 B- UCycle, 周期
8 o5 _1 f7 G* |1 C3 Z* YCyclist, 周期性
0 Y" j' x( Q1 X7 y' eD test, D检验 d& M- q$ I7 V
Data acquisition, 资料收集0 N, |- ?0 P5 l$ d# f& b& f
Data bank, 数据库. i" ~! B6 R" F: x9 Z) N
Data capacity, 数据容量
# X' H" ]3 p8 L, _Data deficiencies, 数据缺乏
3 `; a5 M9 A, T9 _1 a Z3 tData handling, 数据处理
- S2 `0 c4 z# H1 U. l3 ZData manipulation, 数据处理% }2 _5 u/ m- t5 Z+ l
Data processing, 数据处理) u& r. x& Z2 k. p* B
Data reduction, 数据缩减
$ W5 ?, d/ V/ N! uData set, 数据集. o6 t6 R9 ?9 D$ r2 Q
Data sources, 数据来源1 }; j$ @3 a4 u1 R
Data transformation, 数据变换
$ y, n- k# s# v' vData validity, 数据有效性% p# {, q$ z) ]( J; z% f
Data-in, 数据输入7 A# m+ }/ K3 F! g5 z
Data-out, 数据输出
% Q: C! [2 U5 e( [0 UDead time, 停滞期
& i9 d, O. d2 W. u9 n* o% hDegree of freedom, 自由度8 {9 ~3 a9 |9 E4 q/ E
Degree of precision, 精密度
/ J$ _% i8 x4 t8 O2 f% nDegree of reliability, 可靠性程度
6 t k( J0 d6 VDegression, 递减& l% m% T6 l8 ~! x
Density function, 密度函数* I* O* d) Z+ c& E9 ]
Density of data points, 数据点的密度 ~5 L6 s4 ~2 [
Dependent variable, 应变量/依变量/因变量8 L! W8 Q" \$ e+ q% p
Dependent variable, 因变量
+ F- u' Y2 J( H8 K. o9 V8 j! B$ QDepth, 深度/ z* m1 r/ `) i: `' ?5 \( j
Derivative matrix, 导数矩阵
" @$ G, r: f: }" Y5 xDerivative-free methods, 无导数方法% }" Q, t& a2 }, J- \# g' l
Design, 设计: Q4 ?* Y! J9 d+ `
Determinacy, 确定性$ q# r! t- S# {8 c5 ^
Determinant, 行列式& c2 o* o$ @, q* K) N
Determinant, 决定因素
( T. V( v- u' f7 ? J+ @. v6 @- UDeviation, 离差
/ m3 ]! Z$ V$ W! tDeviation from average, 离均差. Y( z# g' S. q1 V) J
Diagnostic plot, 诊断图7 I! S& M% v+ o2 q% z* V5 ]
Dichotomous variable, 二分变量, J0 O( S, x4 P2 O
Differential equation, 微分方程4 C9 M1 D7 s% u T: a
Direct standardization, 直接标准化法8 x2 R: G/ w; H4 O
Discrete variable, 离散型变量0 e; `: ~, V- T8 a
DISCRIMINANT, 判断 " B* }7 j3 @' @. {7 g
Discriminant analysis, 判别分析8 o, G) r F6 ^ d7 N2 ?
Discriminant coefficient, 判别系数- {& w& j9 l( Q7 O7 H, W' a' o
Discriminant function, 判别值
( M* t) Z+ f/ {& |8 Y }Dispersion, 散布/分散度4 y% ]6 V( A! R# F/ q' P
Disproportional, 不成比例的" j. ?3 C, w; v3 x3 A2 q
Disproportionate sub-class numbers, 不成比例次级组含量
. |& F3 W# }+ }4 M+ GDistribution free, 分布无关性/免分布+ K% T2 |) R: ^1 ?" Z! M9 v8 R
Distribution shape, 分布形状
' c) T, W' v4 `3 E+ {9 xDistribution-free method, 任意分布法
; L/ H2 a' N5 EDistributive laws, 分配律
+ I! ^; \5 {# O: J6 G8 {Disturbance, 随机扰动项
; Z$ e5 R. g( V! YDose response curve, 剂量反应曲线
8 r0 G* U: d! e& J0 ODouble blind method, 双盲法0 P; ?2 v; ^. ~! u4 D* C
Double blind trial, 双盲试验: Z0 u; e- T$ M. O. A
Double exponential distribution, 双指数分布
% s9 g$ ^+ `5 GDouble logarithmic, 双对数
4 z. U2 L% S( L, ?7 \! SDownward rank, 降秩
$ r; }, X6 ]4 KDual-space plot, 对偶空间图
6 a( i, r5 t' R u2 F. _: aDUD, 无导数方法
8 V% v" Q8 o3 I$ [. d5 IDuncan's new multiple range method, 新复极差法/Duncan新法
8 B. T" b- B* l2 M; y0 t& d5 d- H1 z' Z( {Effect, 实验效应
( K _: r$ V5 sEigenvalue, 特征值
) c' M& o1 h0 bEigenvector, 特征向量) b$ |" P( D/ m2 f
Ellipse, 椭圆
* y% A4 `: ~; l$ q2 J, R6 YEmpirical distribution, 经验分布
& i4 n" u! c! \) h5 ^Empirical probability, 经验概率单位9 K8 s r1 T" J# x* P' Y6 c
Enumeration data, 计数资料- S& ~8 I- n# F$ h) D9 I/ P$ b+ _
Equal sun-class number, 相等次级组含量. ?$ K* _& P# ? H k# ~( T
Equally likely, 等可能
, j$ g- Z" n/ I% oEquivariance, 同变性
0 r( F- ~: S) A/ UError, 误差/错误
: O: ?7 ~2 a& D+ fError of estimate, 估计误差: Z# m8 ~0 @3 F4 q2 I
Error type I, 第一类错误
8 E w5 a, Y4 n1 F+ @! NError type II, 第二类错误
6 N- B" U- d. F/ M; M* r. T# DEstimand, 被估量+ M) `; \% T6 C1 |1 a* U& R
Estimated error mean squares, 估计误差均方
) _; K0 ]4 p- v9 M7 vEstimated error sum of squares, 估计误差平方和
! x- c6 o9 d& V. \# sEuclidean distance, 欧式距离
$ m5 B; v8 E! W$ ]% S7 f+ wEvent, 事件' P$ Z) D9 D4 ^8 n$ M
Event, 事件! c% B& v4 M8 z* k2 v/ H
Exceptional data point, 异常数据点+ y$ M" u& V7 L& w- r
Expectation plane, 期望平面 X4 p% l- _9 y# Q* H
Expectation surface, 期望曲面; R7 X. A' z$ Z& n' X6 O% v3 {
Expected values, 期望值
( [3 K$ k) Z/ Q5 v7 NExperiment, 实验6 |4 |; Z8 K x9 A" w; ]
Experimental sampling, 试验抽样9 K0 T- i1 C5 }. q
Experimental unit, 试验单位
0 h0 t5 Z: F% pExplanatory variable, 说明变量
& z/ r9 K( l. M, e' p2 i9 zExploratory data analysis, 探索性数据分析" k$ |2 _! ?) h( `4 L
Explore Summarize, 探索-摘要& A7 Y" y8 Z6 r( z, k4 |
Exponential curve, 指数曲线: l" v9 ~- g+ n% A+ W. e% i+ S% [* u
Exponential growth, 指数式增长4 \, z. o; ^2 m8 M$ D
EXSMOOTH, 指数平滑方法 9 w/ H: I0 a. ~+ d: O" s9 _; Z( f
Extended fit, 扩充拟合
6 @1 O! `5 m( ]1 o4 Z% T. e" zExtra parameter, 附加参数6 F" {# j2 n' m: X
Extrapolation, 外推法. F7 b2 N$ k4 K$ ?
Extreme observation, 末端观测值
' z2 _' K8 X1 }Extremes, 极端值/极值6 T5 A, I7 x* n! U1 K
F distribution, F分布
1 ^$ d4 N& a& ~' kF test, F检验& {. J* V6 }, U+ y% m- e! K8 j. T: ]
Factor, 因素/因子
9 p( m- e2 B7 kFactor analysis, 因子分析3 [0 e w% m9 P' K" q* e5 q; C1 @
Factor Analysis, 因子分析8 n8 Q. U ^: s+ M8 q
Factor score, 因子得分 " R+ v- p) _5 G8 `7 C8 ~$ T
Factorial, 阶乘
/ Y) c2 j' ? rFactorial design, 析因试验设计
2 F( ]7 T" F3 x& z3 ~- S8 ZFalse negative, 假阴性* b: Z& @7 E" D' |
False negative error, 假阴性错误& M& O6 I! L) `$ ^1 c
Family of distributions, 分布族5 n# e# @8 U& p+ _# D6 |* M+ i
Family of estimators, 估计量族
$ s1 @( g# i0 m7 ?/ IFanning, 扇面& n( C' t4 v. v0 h0 B
Fatality rate, 病死率2 O7 Y+ M' {8 i N% L5 ^1 a
Field investigation, 现场调查 j# J# z) \! d3 M3 y6 S4 f
Field survey, 现场调查7 Z8 `* {; |/ n9 h8 p+ E D& f
Finite population, 有限总体
1 w* J2 l6 ]5 f. P tFinite-sample, 有限样本6 @ M$ x2 }7 c/ ?3 S# e7 L2 B% z9 m
First derivative, 一阶导数
1 k' C1 K. H! d, x3 g+ X* dFirst principal component, 第一主成分$ S e" Q; q7 e
First quartile, 第一四分位数8 B, Z% I9 L/ X% O( m
Fisher information, 费雪信息量: v* B; M1 X7 T5 f/ b
Fitted value, 拟合值
. I) G U: f% h- f5 p2 h. PFitting a curve, 曲线拟合5 W7 `7 l. R9 [- S1 h6 p
Fixed base, 定基0 I8 v0 m; L4 c' W; c/ t
Fluctuation, 随机起伏4 a/ n/ B0 Q7 o* V& p( b
Forecast, 预测 c; w I9 l( E5 ~# W
Four fold table, 四格表
: w) Y8 R G# j# B+ K( VFourth, 四分点/ o( k- w. m, b
Fraction blow, 左侧比率. O. w' V- t3 L" _7 @0 X$ ?
Fractional error, 相对误差7 `- w7 A0 X/ I9 P8 }8 i( v
Frequency, 频率
/ C9 ^( V5 T! N) ^& c5 rFrequency polygon, 频数多边图
! _: p7 W9 ?9 r2 J$ r1 ]Frontier point, 界限点
5 t0 t5 {: @* U! p5 dFunction relationship, 泛函关系3 e& o- r* M" @- i2 E' w1 B
Gamma distribution, 伽玛分布' H0 f+ w! I4 x& [
Gauss increment, 高斯增量
+ `9 u5 A% [3 O: d: HGaussian distribution, 高斯分布/正态分布
q+ _" X; ]. I$ e8 O8 ~ B9 dGauss-Newton increment, 高斯-牛顿增量* b" a( j! R9 _) u3 u4 k
General census, 全面普查
1 y/ B$ o \5 j2 ?0 D2 ZGENLOG (Generalized liner models), 广义线性模型
; F8 c$ i! u; R0 @Geometric mean, 几何平均数1 A, F ]$ i6 }( y% K+ H
Gini's mean difference, 基尼均差3 F, }* c; ]$ }8 _
GLM (General liner models), 一般线性模型
7 r- s+ z, Q6 h( N- MGoodness of fit, 拟和优度/配合度& [7 O" g+ E- e6 g: |
Gradient of determinant, 行列式的梯度- q) |! `/ q6 f+ w( a+ o" H( Y) [
Graeco-Latin square, 希腊拉丁方! _/ A( B0 u- k5 d& |
Grand mean, 总均值. }/ d1 P) n. d5 w! F0 a
Gross errors, 重大错误
# C! N/ f9 @" r% Z3 Q4 ~/ LGross-error sensitivity, 大错敏感度$ b: e- J. J+ S. M
Group averages, 分组平均7 z# x5 y: C3 o# D+ J) x; u
Grouped data, 分组资料
7 P6 K( P3 d- i0 G% F" ]Guessed mean, 假定平均数% }1 ? i X- ]) u# {9 a7 n1 s# ` D
Half-life, 半衰期5 a; l0 ~3 s0 h, r
Hampel M-estimators, 汉佩尔M估计量
& N2 n0 S8 X" h! {Happenstance, 偶然事件
2 x2 ^! r8 h7 Z. {2 HHarmonic mean, 调和均数
- T1 T! X; F4 v, rHazard function, 风险均数% Y2 O7 _. X- h' m8 k8 [( d
Hazard rate, 风险率: o. L! r# P# N7 n: B
Heading, 标目 / w* r; i+ ?% m1 \
Heavy-tailed distribution, 重尾分布
5 O/ }$ C' K% b" b( x$ zHessian array, 海森立体阵
' ]5 x6 \+ [# k4 K0 a4 ?6 uHeterogeneity, 不同质
. X" Q7 C' v( ~' B8 R) jHeterogeneity of variance, 方差不齐 : o' _/ v9 e0 Y) M$ u& F
Hierarchical classification, 组内分组0 c6 {7 K3 o, m$ ^3 q/ g
Hierarchical clustering method, 系统聚类法
+ `. H- H* ]; V0 u/ P" z- MHigh-leverage point, 高杠杆率点" {/ A: N6 N* N# g$ n) m
HILOGLINEAR, 多维列联表的层次对数线性模型
5 p- g. i; q# d+ y, `; IHinge, 折叶点, z# C5 T7 ?8 w6 G% V/ J3 N6 M
Histogram, 直方图, W* _' `' m3 H0 v
Historical cohort study, 历史性队列研究 " O: q6 y. {" ^9 s
Holes, 空洞* `& `& s( u' T4 @9 W! A
HOMALS, 多重响应分析
9 x/ Z/ h. c2 s! a! x, v' [% J$ XHomogeneity of variance, 方差齐性
7 k8 E1 Y$ d* b; c& ~Homogeneity test, 齐性检验
8 C" _- k( p5 K+ \Huber M-estimators, 休伯M估计量
8 c; g( ~2 g& ^2 s; AHyperbola, 双曲线; `5 b4 _' w8 N( T& L8 N
Hypothesis testing, 假设检验
5 V* r2 \2 p8 s) ]0 h! Q s: aHypothetical universe, 假设总体
, N9 Z( C. \: C: l9 @4 J1 r7 C- iImpossible event, 不可能事件" j9 A" Z3 P) r6 E$ N1 e( s
Independence, 独立性( e9 W6 u, U$ t! H
Independent variable, 自变量
3 q) T8 N! z. O/ I& g. uIndex, 指标/指数4 h8 _ W, }( M$ L% I& N/ d% b
Indirect standardization, 间接标准化法
, H& ~+ e! Y7 n; y' _, ~! ?5 {; ]Individual, 个体
/ n' e% A7 }8 h3 kInference band, 推断带/ ~1 Z, k. a0 R4 F) }/ H0 l0 a
Infinite population, 无限总体
; D* |# I. l: e3 S" LInfinitely great, 无穷大
9 h7 n% _# {5 p" t; Y( OInfinitely small, 无穷小
9 Q9 g P+ x* f: B5 c5 UInfluence curve, 影响曲线
( |( O1 T5 J7 S/ I# iInformation capacity, 信息容量/ W, W/ v* W8 p8 \! V7 X
Initial condition, 初始条件
7 D, `) n2 j) N1 r# H8 c1 WInitial estimate, 初始估计值
/ x9 @: ~8 C n3 x) y; jInitial level, 最初水平) [. ?3 Y/ R( F' }9 n; u
Interaction, 交互作用( N3 o: _) J, c' `( T. A
Interaction terms, 交互作用项 j" O V& u1 Q4 v- c {
Intercept, 截距
+ o2 h2 v8 \9 i" Z6 v! i: |Interpolation, 内插法
1 L3 w" ~# N2 z$ fInterquartile range, 四分位距
% p9 \$ N: o! v2 y* N' }1 EInterval estimation, 区间估计0 K" b- i' G4 j9 W" p8 x! [$ y: T
Intervals of equal probability, 等概率区间
- \& Q7 `# M! [Intrinsic curvature, 固有曲率! N9 F3 y$ ]9 Z
Invariance, 不变性 E; g& e {6 d8 g4 \/ `% P
Inverse matrix, 逆矩阵
) s+ L X: Z! k0 S4 \1 bInverse probability, 逆概率
) o% [* u/ @7 a% H3 s/ o$ R7 TInverse sine transformation, 反正弦变换
' ]( ]: _; @! K+ i( G' E$ ^Iteration, 迭代 ; ^8 V% q0 P( |" S& M- K6 v
Jacobian determinant, 雅可比行列式
d; ]2 J# u# y# x0 i; RJoint distribution function, 分布函数
$ C5 d- I0 q$ z! Z# i- jJoint probability, 联合概率
+ G4 s0 x' h9 i9 _& T( kJoint probability distribution, 联合概率分布
$ G& Y9 D( \8 y. E4 UK means method, 逐步聚类法
! ]! S0 S$ i" X3 OKaplan-Meier, 评估事件的时间长度 # N# H# v* X# a! _3 y
Kaplan-Merier chart, Kaplan-Merier图
& W! W* ]3 v% A% b" eKendall's rank correlation, Kendall等级相关
: [# s! f! B4 ]/ Z4 iKinetic, 动力学
% P: H' M; O6 V& bKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
9 Q. ]" o, y1 Z5 HKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验4 d& c0 n& [9 _/ U4 K
Kurtosis, 峰度/ ]) H$ a( u% L0 C: a
Lack of fit, 失拟
' _/ W! _; j/ m& H" `5 cLadder of powers, 幂阶梯$ [) a+ n' @ e) j* W
Lag, 滞后$ |: U4 ^( Z" S j% A/ Q) V9 K; M+ A
Large sample, 大样本2 [: X6 f+ k k" }# F& q, N
Large sample test, 大样本检验. u# J( e2 G( c3 I% N
Latin square, 拉丁方
8 A+ f9 i) o& Y7 g7 b2 B4 @( t, ?Latin square design, 拉丁方设计5 t( d5 o" s" y3 q! r4 X
Leakage, 泄漏7 _% @8 X5 F+ x4 z
Least favorable configuration, 最不利构形
7 w* c. G$ s- ?( O1 LLeast favorable distribution, 最不利分布
5 C* |; o# q4 F BLeast significant difference, 最小显著差法$ _1 \! p. ~$ u! t) }) P
Least square method, 最小二乘法
/ l' Z& U- a$ k* n9 e2 bLeast-absolute-residuals estimates, 最小绝对残差估计) x( M* o2 m% S5 `# `
Least-absolute-residuals fit, 最小绝对残差拟合
0 t, m$ o% o, K* Z4 Y) cLeast-absolute-residuals line, 最小绝对残差线% v. m* a, X$ k+ |9 |* f- I
Legend, 图例
2 [2 ]) T$ c) n+ g0 _L-estimator, L估计量
z; q4 L) V5 m, ~( P1 q( J# B9 ~L-estimator of location, 位置L估计量
6 l( V. w4 [: R. f( kL-estimator of scale, 尺度L估计量
0 j" O- N* v: k' }9 L' ~Level, 水平& ]; a" A, R) R4 s
Life expectance, 预期期望寿命& t: H, a9 }1 v3 p. ~3 b$ u+ {9 N
Life table, 寿命表4 C1 [! U0 j2 I# a) m0 I L5 B1 P
Life table method, 生命表法5 }' v" T: W* j1 i, W) P
Light-tailed distribution, 轻尾分布
" ?& H. F- C {) K; VLikelihood function, 似然函数
4 o! q9 A1 a, ]4 eLikelihood ratio, 似然比
6 ]# ~# y0 W! |, p/ j8 E) m6 hline graph, 线图
5 d- T) o/ b8 e8 `6 N+ M c |0 ]Linear correlation, 直线相关
, v" M& U$ f0 {! V1 ^* T/ MLinear equation, 线性方程
% ~/ g! m- j% [) |/ K: f" C1 ~Linear programming, 线性规划
' z* _* r! Y1 O) g8 sLinear regression, 直线回归
8 T% B# U3 l& e0 u, w; KLinear Regression, 线性回归9 d3 H. Q$ K, D! I& E1 w' C
Linear trend, 线性趋势, D6 a6 z4 T3 }7 t }3 B+ {* ?
Loading, 载荷 , L! M- u: U+ }- ~3 G
Location and scale equivariance, 位置尺度同变性
) T$ H c( d/ }9 Y. JLocation equivariance, 位置同变性; i3 h$ n/ `! R5 e4 i" k6 z
Location invariance, 位置不变性# N: ~. V4 R$ y
Location scale family, 位置尺度族/ ?- y/ |) L# w; v( q
Log rank test, 时序检验
. k. P% ^5 i+ S* r6 M3 g8 KLogarithmic curve, 对数曲线/ C# p) h, g( e* Z# b9 `* ]) Q- F. E
Logarithmic normal distribution, 对数正态分布; ?8 N! C y' Y% d% s
Logarithmic scale, 对数尺度, P' x* r5 t$ X* R/ F: J. y
Logarithmic transformation, 对数变换
% ~+ e5 l8 T3 k5 d3 B9 xLogic check, 逻辑检查$ m( p, m( }. Y- M+ u) t; F
Logistic distribution, 逻辑斯特分布; ?, B1 r% @+ a5 u
Logit transformation, Logit转换
; y1 t( K( B! m0 M- I! o& fLOGLINEAR, 多维列联表通用模型
* v7 ? ?- Q2 U: u9 e$ CLognormal distribution, 对数正态分布8 \5 N7 D6 p# B8 }! E8 l: E5 Y
Lost function, 损失函数1 C: L7 u8 m- O5 a# c4 ]
Low correlation, 低度相关
" R8 W! q) G; WLower limit, 下限: V8 o. Z X, f; r9 q- m
Lowest-attained variance, 最小可达方差
7 }! h) X/ B. @ jLSD, 最小显著差法的简称
, C* M6 Q1 b7 X' X; x4 ALurking variable, 潜在变量6 y u8 H% k+ W' O X5 N; F
Main effect, 主效应
4 k/ n8 R9 R; F, }" H: bMajor heading, 主辞标目' j2 ^2 t2 O: A/ \& a u* O4 X
Marginal density function, 边缘密度函数: f6 q0 Z. Z! Y+ k, ~ i
Marginal probability, 边缘概率
c( o, L. v3 V: h! s, J, ?4 `% CMarginal probability distribution, 边缘概率分布
3 F& {/ M9 H& {( A1 x, {1 wMatched data, 配对资料
( W; O5 U! ^/ |7 p+ [) IMatched distribution, 匹配过分布
! r. h* O( m$ H( u3 S* q/ U( FMatching of distribution, 分布的匹配
' h* q3 o) l4 g) M( v% u$ JMatching of transformation, 变换的匹配8 @* e% U; Y# M
Mathematical expectation, 数学期望9 E U* ?' n1 X, w! M x
Mathematical model, 数学模型
' U8 @; F2 r( ]: F& V V1 ` H, cMaximum L-estimator, 极大极小L 估计量
3 O$ L# F. n4 l+ {/ uMaximum likelihood method, 最大似然法1 c5 I X: ^2 F# o2 e
Mean, 均数
8 p7 E' e: P: v+ W$ _ cMean squares between groups, 组间均方
9 Z" S! p, A/ J" H. BMean squares within group, 组内均方+ K) {. C3 T% x1 I3 u4 F
Means (Compare means), 均值-均值比较0 G. K( W" e+ x, Z Q7 e: h7 ?
Median, 中位数
+ I$ {0 `" |1 b+ t* ?2 yMedian effective dose, 半数效量" D5 T. V" N" e
Median lethal dose, 半数致死量
# n2 J0 e4 g0 t5 ZMedian polish, 中位数平滑
% L0 d1 n0 Z! pMedian test, 中位数检验9 T( |: B: @6 V [7 K# B& O% d
Minimal sufficient statistic, 最小充分统计量
! J, T U4 |. `3 w: I; BMinimum distance estimation, 最小距离估计+ i8 G9 k( P- w/ D; c- t
Minimum effective dose, 最小有效量
7 c; R- _- z1 r, L5 YMinimum lethal dose, 最小致死量 L: I) d+ K$ [6 ~+ l# f$ g! l) f% P
Minimum variance estimator, 最小方差估计量# R+ }( K: e; D1 a! P- o* b/ M4 L
MINITAB, 统计软件包
0 t* p1 c4 R# ]4 J5 a- ?0 _: e7 `Minor heading, 宾词标目
5 I9 p7 V$ c% z6 g& Y8 kMissing data, 缺失值1 k1 d7 g6 y, A# T% b; D' v- U
Model specification, 模型的确定
% M" ?3 M0 D- v: dModeling Statistics , 模型统计 O( E: s w R. R6 k
Models for outliers, 离群值模型3 |' A( M1 _: m) u; J
Modifying the model, 模型的修正
6 X, p: D( L iModulus of continuity, 连续性模& r: p4 f! E/ D. q
Morbidity, 发病率
3 q t4 Y6 G2 }2 T0 W6 S' SMost favorable configuration, 最有利构形% } M" |/ W( g- M0 c" A$ O+ y8 h" u5 k
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
8 }) _7 o8 t4 H/ IMultinomial Logistic Regression , 多项逻辑斯蒂回归* \/ }+ L* E8 e) R3 q
Multiple comparison, 多重比较) I* c& P$ Z; Z- a6 m' R
Multiple correlation , 复相关) O: p ?* Y) t R2 I3 k0 A
Multiple covariance, 多元协方差# l* G5 L# C# }$ ]& Y9 M1 A: R" ]
Multiple linear regression, 多元线性回归8 _0 a7 D6 U! u. @, ^+ [# w0 L
Multiple response , 多重选项. b5 n R* U/ c) u m
Multiple solutions, 多解+ ^, g& M% f# u g
Multiplication theorem, 乘法定理
' [3 p0 a7 l9 L, ZMultiresponse, 多元响应7 X0 ]9 V* q& I, P
Multi-stage sampling, 多阶段抽样) Y# f: R9 {. G2 ^" f+ p
Multivariate T distribution, 多元T分布! E" w) ^2 T3 m* G
Mutual exclusive, 互不相容+ {# u! d6 G! B/ n5 m3 ~4 Z
Mutual independence, 互相独立
( n/ @$ z5 `- U) L8 z/ C0 T" S% o6 X VNatural boundary, 自然边界
% u" O3 O: g1 e) ]: }& |0 o6 B) XNatural dead, 自然死亡$ Y7 O( v' `: r- _
Natural zero, 自然零2 a! u5 u0 Y; y6 ~% f6 G9 C
Negative correlation, 负相关1 n0 C# r8 J" B* q. U
Negative linear correlation, 负线性相关
5 z" \* r. j( FNegatively skewed, 负偏
' J+ ~1 F' i9 _Newman-Keuls method, q检验
8 G, \4 Y m" m* Z) l, G7 G# f yNK method, q检验
; D' w0 y% [* P b5 B, ~# T: i, ^1 DNo statistical significance, 无统计意义
$ p; T9 c% ~) H% S' x9 JNominal variable, 名义变量
8 O3 {6 ?3 W/ r. ~6 KNonconstancy of variability, 变异的非定常性
% \. i# h* g: p. |: W; u0 I. oNonlinear regression, 非线性相关
9 R' U. ~1 ?4 ^$ ^Nonparametric statistics, 非参数统计4 N/ L4 y! h3 t% `3 ~& y5 P9 w
Nonparametric test, 非参数检验, ]+ }& D* v4 W- t" u+ E
Nonparametric tests, 非参数检验7 ?/ R$ g9 f/ Y. d" m$ f
Normal deviate, 正态离差
, r/ Q; Q* Q; e6 u0 qNormal distribution, 正态分布9 g" ?0 u( f; _6 m& X @: c8 s
Normal equation, 正规方程组2 _2 U# c8 m7 ?8 i2 A+ C/ ~
Normal ranges, 正常范围
* I w ^$ r4 U( [% E& M3 ]Normal value, 正常值
/ x( o( n: p, t4 E; s) hNuisance parameter, 多余参数/讨厌参数
( B4 P0 b t. A1 N8 g6 l+ _ ONull hypothesis, 无效假设 5 Z Z) \2 M/ ^) ?4 ^1 n
Numerical variable, 数值变量
0 g1 i. D8 m, |$ R% W1 nObjective function, 目标函数
6 R/ l: K" P4 H- z9 L( e2 rObservation unit, 观察单位
& B5 K* Q* B& J5 Q- `% ^. a9 Q1 EObserved value, 观察值
+ t: d1 w: Q: O& kOne sided test, 单侧检验
% \* ^% P; b; D, zOne-way analysis of variance, 单因素方差分析+ |) E h- |8 r; \; i |
Oneway ANOVA , 单因素方差分析
8 D5 M9 e" L3 b5 {. J3 O' ^Open sequential trial, 开放型序贯设计
1 g/ Z8 q) d/ L8 W$ |+ VOptrim, 优切尾2 D. {; ~: h9 \3 I. F, F
Optrim efficiency, 优切尾效率
0 W% y& j4 ~3 |2 q6 FOrder statistics, 顺序统计量! S* V/ W3 |6 z6 h+ A- B3 u
Ordered categories, 有序分类
) \' u7 ]1 e/ x! ^' g2 U' ^) a V* D9 bOrdinal logistic regression , 序数逻辑斯蒂回归
. [9 e$ ]! V# I, z) f: r# q1 OOrdinal variable, 有序变量' q2 H, O6 u/ T& w7 X+ N/ p$ @" W/ L
Orthogonal basis, 正交基6 l% h ~5 o* C
Orthogonal design, 正交试验设计
8 H) k- P% s2 \# @8 h- XOrthogonality conditions, 正交条件' Q% N8 e# |8 H0 ]. j
ORTHOPLAN, 正交设计 6 O' h5 v: R) d: }
Outlier cutoffs, 离群值截断点" c, _2 g1 q9 Q# n
Outliers, 极端值
/ i1 t: m* o3 d4 U$ C9 kOVERALS , 多组变量的非线性正规相关 ( N% ^1 d- L7 x( q& W9 m k% Y
Overshoot, 迭代过度) e* U: @0 V* w5 w# I2 F2 ]9 C9 z0 n
Paired design, 配对设计
2 K- }7 Q& c. j" w. l$ Z+ A8 GPaired sample, 配对样本* v/ t+ L2 `7 S. p& z
Pairwise slopes, 成对斜率
" N, c) l/ z, D6 Z/ vParabola, 抛物线
x6 x+ |3 f# m% S+ I/ _7 jParallel tests, 平行试验; Z$ Z) g8 I1 e r9 R; T
Parameter, 参数
1 v0 U9 n4 ^8 G" uParametric statistics, 参数统计; l, S/ G2 O- Q' A3 _8 |
Parametric test, 参数检验
* Y! b. B! `$ @; }9 K6 zPartial correlation, 偏相关2 o2 d* e: d. Z% V
Partial regression, 偏回归- ~; c9 m( d9 Z1 ]+ W
Partial sorting, 偏排序
9 @0 n) v1 T( uPartials residuals, 偏残差
* F3 v# Z( w" U& A X/ dPattern, 模式
9 j- `9 I& L# X) l3 U* f* k, ~$ aPearson curves, 皮尔逊曲线/ B# h) I, @# z. F7 `( ~- I, T6 U" e
Peeling, 退层: F4 c5 U9 K; }3 M5 J, w9 z( d' M
Percent bar graph, 百分条形图
! k* Y* E6 r6 K( a5 iPercentage, 百分比
6 V: x {* ?' B2 O* I. U% EPercentile, 百分位数
% J- ^" S; @5 B* i$ oPercentile curves, 百分位曲线
+ o. i. E+ v( V: A6 }, yPeriodicity, 周期性; W. k5 Y- {; I
Permutation, 排列7 a3 L; [7 B8 J- M* H: b+ H
P-estimator, P估计量
. X" A6 v1 N1 FPie graph, 饼图& o5 O3 C8 b$ n h e& v4 {* m
Pitman estimator, 皮特曼估计量
% M2 y3 t, G* ^' z4 D2 TPivot, 枢轴量6 s8 h# ^' E4 e0 j
Planar, 平坦$ X3 [8 t! J* |2 v' l2 ^
Planar assumption, 平面的假设
* ?; G1 t: A8 o; lPLANCARDS, 生成试验的计划卡* Q: \% @4 \" A# @. j2 p
Point estimation, 点估计
+ C6 ]/ \+ U, A* v, iPoisson distribution, 泊松分布
* F; J! E0 \7 B" K" R/ C: ^" c6 CPolishing, 平滑
% t- H0 v( \. e; w4 ~- e& l" EPolled standard deviation, 合并标准差9 f$ c' |6 U) k j5 x
Polled variance, 合并方差+ j3 [# v* I* [: C' \
Polygon, 多边图
3 P% }" H3 Z9 \# _( ]+ Q7 g; \9 tPolynomial, 多项式
0 J4 N: t0 |% ]0 H- ]1 p2 @Polynomial curve, 多项式曲线
; Q7 ^; S6 P- q( e: f: JPopulation, 总体0 m. [- q1 J2 U% M% c* a, J: C
Population attributable risk, 人群归因危险度$ ^. |+ N4 e& @
Positive correlation, 正相关 u! d! _7 P0 W! W) Q N
Positively skewed, 正偏
# Z' D, _0 }" @" {" k3 xPosterior distribution, 后验分布
4 ]8 W, J/ g# h1 y; O) P' CPower of a test, 检验效能8 h# ~( A: Z3 j8 ?, b
Precision, 精密度
4 b, ]% O4 {! }/ J" l* {Predicted value, 预测值
+ Q1 s2 L) `' HPreliminary analysis, 预备性分析
7 |$ P8 \( V! r. T" MPrincipal component analysis, 主成分分析
# c0 A; {4 m: t* [2 `+ t7 y* TPrior distribution, 先验分布
! T! C5 k# `3 x' r) b# lPrior probability, 先验概率, k2 N" r& B* a' }& a
Probabilistic model, 概率模型4 Y$ l. Y& e, d+ Z$ \9 g& G8 B
probability, 概率( _( I* g* Y8 J! v' _$ v: }
Probability density, 概率密度! `- L" l. Q/ v# N
Product moment, 乘积矩/协方差
. J& K% s* K& u# }- pProfile trace, 截面迹图/ h+ }" A/ v; V/ s
Proportion, 比/构成比. B p+ ^% p% H. ?# C) n6 y
Proportion allocation in stratified random sampling, 按比例分层随机抽样* ?6 ~% ^% Y6 {; \5 h: w
Proportionate, 成比例* r. e7 `( \1 q: ^2 z; ^4 j) V
Proportionate sub-class numbers, 成比例次级组含量
0 Z8 v0 P/ s. t6 VProspective study, 前瞻性调查- V% x. |% a' Y
Proximities, 亲近性
# C" n5 K) m7 M, K' TPseudo F test, 近似F检验; S' f1 G" |* ^: D6 e1 g" E
Pseudo model, 近似模型. k+ p6 K4 A- ]
Pseudosigma, 伪标准差1 @. Y$ V/ P6 F
Purposive sampling, 有目的抽样- s! ^: Z; V, Y' n7 l$ R) S
QR decomposition, QR分解
* \2 X$ Z9 w) B5 v2 yQuadratic approximation, 二次近似2 i) c, x& {6 G! b! Y: Q
Qualitative classification, 属性分类
) }0 h4 d* M6 ?9 Q# v9 GQualitative method, 定性方法
7 {; m7 [1 A, ]/ \" {Quantile-quantile plot, 分位数-分位数图/Q-Q图
; @) ^ ]; R) w0 E% Z( \+ o5 d1 uQuantitative analysis, 定量分析6 s; `3 G9 ^. r9 T1 Q
Quartile, 四分位数 H, `6 H6 D1 a9 A; z t- i
Quick Cluster, 快速聚类/ a) S" t! y4 K+ z) @
Radix sort, 基数排序0 g: s- f1 ]- \0 ]1 p
Random allocation, 随机化分组
. m; `/ w, }4 c7 W" K, w' G8 w. fRandom blocks design, 随机区组设计$ u7 G8 d# ]/ R0 u. ~
Random event, 随机事件
9 l2 w0 ?2 e% t" B6 VRandomization, 随机化
2 ?' U' Q( `6 r6 ?Range, 极差/全距
7 x2 v. d- k) `) vRank correlation, 等级相关# ]& T6 ]& |1 `) H$ C
Rank sum test, 秩和检验
* L8 |3 a; h% O& {& w0 ^( n9 U- YRank test, 秩检验
, n/ K) a3 h" K( p- [% @# v. i7 cRanked data, 等级资料' }" P/ W8 i" @3 t ^
Rate, 比率( f2 U) H8 _- g. a3 J0 j
Ratio, 比例
7 @9 }2 p% W' MRaw data, 原始资料+ @# _6 A7 r2 T# T/ y* t
Raw residual, 原始残差. R7 q: n2 K' K6 Y) n8 ^2 |
Rayleigh's test, 雷氏检验9 W! |" ?& a) q( L) V! j4 n
Rayleigh's Z, 雷氏Z值 + |0 u! Y# g8 L4 V" e/ N: F: \# ^
Reciprocal, 倒数9 ~, y& {8 b6 R5 m
Reciprocal transformation, 倒数变换 |; _" a* H! \# f
Recording, 记录! o, E3 Z( W" ~) q ]
Redescending estimators, 回降估计量: i$ ^6 ~( @# A; i( V
Reducing dimensions, 降维* K: D @2 w5 G: k
Re-expression, 重新表达
5 J/ b* w1 l: e" s5 s( F. ?. z U EReference set, 标准组' n y2 Q$ J: v! Y _3 r" M5 q# L
Region of acceptance, 接受域+ s# H0 O5 Z# u8 e
Regression coefficient, 回归系数
* x* ^) w1 i& x7 VRegression sum of square, 回归平方和7 H. z9 T8 Q @$ C
Rejection point, 拒绝点
2 ?/ P2 t5 Q! ]# ?* N1 JRelative dispersion, 相对离散度4 X- Z% F i0 E C: }. f" r* _
Relative number, 相对数( I! Y3 P6 U- ~" T- a+ R9 ~0 G0 E/ g7 G
Reliability, 可靠性
1 P9 Q, A/ s1 O. k; W5 nReparametrization, 重新设置参数
$ Z* o) G8 k- }; j ^$ w! CReplication, 重复
2 N0 W; b& y6 i( }Report Summaries, 报告摘要
* g, K) Y9 [. e$ S1 z2 i7 iResidual sum of square, 剩余平方和
5 H" t. l/ f9 H; d/ E7 Z) rResistance, 耐抗性& N8 u5 K+ o+ U* S- ?1 y0 M
Resistant line, 耐抗线
0 h1 r* N2 t g/ ?7 _* BResistant technique, 耐抗技术
; u; K/ R5 b# s( Z5 wR-estimator of location, 位置R估计量
8 T8 d+ A1 v) m4 e7 k0 tR-estimator of scale, 尺度R估计量
+ H# O& X" e3 |5 q- f9 RRetrospective study, 回顾性调查, V- z1 T( M1 V# H M
Ridge trace, 岭迹# M" \0 N3 w9 ^3 E: K; F
Ridit analysis, Ridit分析: @# x9 Q- m! l r6 _
Rotation, 旋转
' z6 x, W; _+ K8 b) |0 XRounding, 舍入
8 p a, |; v/ }Row, 行0 ]7 e% z- b7 g/ {* b# `8 {2 f
Row effects, 行效应/ X; z# d! @* m' v
Row factor, 行因素' b m$ j4 g- N" q* x2 X* d" ^4 h
RXC table, RXC表
; Y2 T E" A1 | Q0 ?% H' c' ]% X1 Y& VSample, 样本
& N) |1 W0 U) L& o& L& R1 j# S3 HSample regression coefficient, 样本回归系数9 u, Y! I( ~0 ]# z2 ]
Sample size, 样本量
6 Y( ]/ s# E; DSample standard deviation, 样本标准差" A% V3 \( ~& b+ U! S) }, g! K* @
Sampling error, 抽样误差( N% F' L4 f; x9 ?' q* k3 ~
SAS(Statistical analysis system ), SAS统计软件包0 R: v- Q. ?9 z
Scale, 尺度/量表$ B1 n# T+ l: I
Scatter diagram, 散点图
; O9 q: _, h4 i1 w# ~- j( SSchematic plot, 示意图/简图- z4 \: I+ U# p$ E+ ^
Score test, 计分检验" O% K* k2 M6 [& N9 y
Screening, 筛检/ @& Z i0 C% J& M0 `8 t V# W
SEASON, 季节分析 0 m$ ~; R; B( ]# o# e: P' z4 x. ?- X6 ^
Second derivative, 二阶导数
1 x5 M. Q' ~9 Z! m; HSecond principal component, 第二主成分 ?2 u3 G5 I4 U% [0 l! R% E# f; p
SEM (Structural equation modeling), 结构化方程模型
- r) e9 |4 z/ B' O3 H! H5 YSemi-logarithmic graph, 半对数图
2 Z0 H; d- ?- S# t. W* SSemi-logarithmic paper, 半对数格纸
/ k& E4 ], w! b) o& v/ U3 J( LSensitivity curve, 敏感度曲线+ e3 {3 Y0 X" t8 Z8 [6 a% j
Sequential analysis, 贯序分析
8 m8 A% {1 ~% a% h, Q& V8 U, PSequential data set, 顺序数据集 D- M" r0 n' }$ ]7 `
Sequential design, 贯序设计
; |$ _1 ?' a" N& t3 a: Y+ G9 LSequential method, 贯序法9 I7 }7 F0 h" }* W9 V& R, g' Z
Sequential test, 贯序检验法
( k# }7 y2 O( pSerial tests, 系列试验3 q* y: x/ P7 L% s% l
Short-cut method, 简捷法 * r+ _. `1 V! t8 ~, n4 o( t0 w; |
Sigmoid curve, S形曲线% q% b. I5 X5 F( P* o; [# C
Sign function, 正负号函数
9 x: i7 a: h q* N8 T6 i( ASign test, 符号检验
5 \6 K4 m+ l1 t+ h5 }' a _Signed rank, 符号秩
( [; ]! E6 f e) Z& `% MSignificance test, 显著性检验" G6 J* i" Y: |0 V- W! M* K
Significant figure, 有效数字
( _* P" n6 m+ @4 v2 Z1 @Simple cluster sampling, 简单整群抽样8 K5 T& ?5 j8 _4 {
Simple correlation, 简单相关
( F6 i4 y7 q' j) F: ^* aSimple random sampling, 简单随机抽样
% \* F# k1 w+ p; N- i( JSimple regression, 简单回归& r! k0 d8 b% p5 i# m
simple table, 简单表
1 p2 J& {: U3 d7 ySine estimator, 正弦估计量) n/ n X+ g% Z! [% _
Single-valued estimate, 单值估计# K" H0 c8 H/ E$ z; d
Singular matrix, 奇异矩阵
4 [0 z( S5 A& b& nSkewed distribution, 偏斜分布
9 |, F$ y2 ~( g c8 HSkewness, 偏度
5 X2 [ i8 l* W) k+ [$ {Slash distribution, 斜线分布
, s9 u+ u; G0 s& j$ C) USlope, 斜率( a, m, ^! E% {2 Z. K/ `- U i
Smirnov test, 斯米尔诺夫检验0 Q/ m/ t6 X* Q/ @0 t0 V+ F
Source of variation, 变异来源; `% i* E& C& L# ~) q% K3 Q X8 c
Spearman rank correlation, 斯皮尔曼等级相关7 k4 T' T; H& E& J$ D5 A
Specific factor, 特殊因子5 s$ [( y; p( C! S( y% I( t
Specific factor variance, 特殊因子方差
6 F4 Z6 y9 A& i! h' [* ]Spectra , 频谱
- T6 ] V1 C+ L5 f* _ u: ^$ f' ^Spherical distribution, 球型正态分布1 P4 c4 X2 z( m+ Q, [
Spread, 展布: p! B, D8 Q" o- Z, `: ?
SPSS(Statistical package for the social science), SPSS统计软件包
; d a0 k4 H' C7 G) F t- DSpurious correlation, 假性相关( J! b( X9 f& A
Square root transformation, 平方根变换
5 g1 ]1 w! m* h5 R; C5 e MStabilizing variance, 稳定方差 Q' y9 O# a' w! V
Standard deviation, 标准差
8 m$ \! y% O+ e* @Standard error, 标准误
0 ]' c8 O D) C6 g2 q( |Standard error of difference, 差别的标准误
- K" I+ Z# @7 O, v5 A0 b) aStandard error of estimate, 标准估计误差
; f8 A* a; i0 @' ? ZStandard error of rate, 率的标准误
' K! V. Y* f5 c, K8 HStandard normal distribution, 标准正态分布
6 Z. x: G' U( D* `, w# q7 I* K$ pStandardization, 标准化
/ j, S: z' v/ q/ | f" o! K# uStarting value, 起始值
3 c& t. Q8 h+ q" Y- |3 TStatistic, 统计量
" q: ~- d7 l9 ^" P" B3 K9 EStatistical control, 统计控制
0 h9 n4 ?0 i: \# r7 R) p5 JStatistical graph, 统计图
_) |& v# h3 e A$ Q+ B" z( ^Statistical inference, 统计推断
. _+ L, C$ L9 Q8 W/ QStatistical table, 统计表
/ E8 ]) E( N) J; ~Steepest descent, 最速下降法
) D% [0 U; I3 t" i9 ZStem and leaf display, 茎叶图
7 N9 y7 J$ \0 d, h: I6 q! E+ eStep factor, 步长因子) J& m3 |9 K$ r
Stepwise regression, 逐步回归
7 F5 q5 C/ U1 P. U# M& z+ bStorage, 存
- K, q9 i& w2 `/ E' i! uStrata, 层（复数）' L. x% G% m% M0 M. e; z2 @( g
Stratified sampling, 分层抽样
( s$ P7 _: J' W3 k: w( O" fStratified sampling, 分层抽样
( l+ c# Z8 E2 E+ pStrength, 强度
! {+ P5 J# X( F; J' tStringency, 严密性8 a6 u1 p( q7 @4 p Y- ^' r
Structural relationship, 结构关系
; D; y* N) `3 J4 c; E8 E' ]Studentized residual, 学生化残差/t化残差& Y+ e( [( U4 g$ M
Sub-class numbers, 次级组含量
V, D' h: {9 OSubdividing, 分割0 b! t e: `* }5 \
Sufficient statistic, 充分统计量
$ A$ y) k9 K* \8 D9 i( `Sum of products, 积和4 Q+ n2 r4 C& p8 z/ D! N
Sum of squares, 离差平方和
9 X8 v- I, ]2 }Sum of squares about regression, 回归平方和1 P: a, W: }# i% } T% y7 v
Sum of squares between groups, 组间平方和0 A9 M7 L& J5 [, ? ]0 r2 j
Sum of squares of partial regression, 偏回归平方和
/ [" r! y% g) u2 N! t& xSure event, 必然事件
0 t% B( m2 E) t3 ?. V" T( F! FSurvey, 调查7 U% E4 {3 l3 G* F* L1 I
Survival, 生存分析
- V8 o' n6 B1 Y3 i; Y+ n' VSurvival rate, 生存率
0 K4 }- Y4 o( Y2 F/ NSuspended root gram, 悬吊根图
0 A+ C5 E. Q8 I* PSymmetry, 对称5 b, i7 x: F& T. K
Systematic error, 系统误差% I1 G7 w+ t; J$ u& c& z! C1 x
Systematic sampling, 系统抽样9 c* P, x, H, @0 f9 a- t) {$ j
Tags, 标签2 U4 o% Q) {! H" C+ x8 w4 b
Tail area, 尾部面积
0 q1 u# @0 P2 g$ _" k6 d; ITail length, 尾长' ]7 M( F! n7 g& Q+ B
Tail weight, 尾重' I- m. ~! H) }' Q# r7 P2 `
Tangent line, 切线5 }& P+ E, X, J ^% {
Target distribution, 目标分布
" x o. U' M: q4 W0 R& a$ fTaylor series, 泰勒级数
@5 r- h7 [* m1 \& S0 RTendency of dispersion, 离散趋势
! @9 B- }2 I7 Y1 i8 OTesting of hypotheses, 假设检验6 |2 L9 x% D* y" E1 s0 X; @" F
Theoretical frequency, 理论频数
6 k5 ]+ d. I2 K8 X. s* Q& ~Time series, 时间序列
" Q4 w; S( p" E E( ?9 B& mTolerance interval, 容忍区间
8 `, n* d3 s7 I. |Tolerance lower limit, 容忍下限
; ^: j' D1 Y! d$ A* ETolerance upper limit, 容忍上限
* q- ?) R) J3 r, s5 X* aTorsion, 扰率
9 a+ G( `/ ^9 E0 A+ ]. [5 xTotal sum of square, 总平方和" t. a, X+ l/ [) u# j
Total variation, 总变异
: i9 R7 }1 Q# r: N6 ~Transformation, 转换! g3 r }, K* `
Treatment, 处理2 [+ ?& K! J+ m8 N E% a
Trend, 趋势
! g6 ?! \* z- v$ p+ KTrend of percentage, 百分比趋势
" m+ y1 i7 @! |' q: R5 e; RTrial, 试验! D) H5 f. N+ R. r$ K
Trial and error method, 试错法
+ ?5 @0 a/ G% U, [* g8 ATuning constant, 细调常数
; l) v& ~: h$ m$ ?% J9 VTwo sided test, 双向检验9 h p% N5 @1 [# z' |4 w+ V
Two-stage least squares, 二阶最小平方8 Z; T# {5 E% ~+ y$ M! `
Two-stage sampling, 二阶段抽样
5 f4 a- F- X! JTwo-tailed test, 双侧检验
/ ]- S5 A. t# a H! TTwo-way analysis of variance, 双因素方差分析) k; f' j* C# U
Two-way table, 双向表
% _4 G: t5 p( A4 H+ \: gType I error, 一类错误/α错误
- M: |1 C/ B. bType II error, 二类错误/β错误
- X5 z, \& o. I' y( U. X4 RUMVU, 方差一致最小无偏估计简称
+ Y+ T/ {* F4 ?+ i2 ~Unbiased estimate, 无偏估计
- M# i8 ^0 S# C g! A# y; ~5 t9 iUnconstrained nonlinear regression , 无约束非线性回归
4 i7 U% t$ S; e" y6 r! l5 E2 bUnequal subclass number, 不等次级组含量
4 J' N+ V( T9 N8 ?6 z. jUngrouped data, 不分组资料
# H. q8 r/ Y/ \Uniform coordinate, 均匀坐标
: \" |) K+ B. T1 Z* l1 h0 @) kUniform distribution, 均匀分布. l) o: p3 n5 @
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计3 N0 D! G" J0 `' L# N0 P! Q6 \
Unit, 单元
4 N* L5 d9 ~) Z' NUnordered categories, 无序分类& w- z/ s( f$ ^& f$ `
Upper limit, 上限% _" s" r1 M4 j r( n9 Q& p+ Y
Upward rank, 升秩: t7 @ Q9 z0 C. |7 O+ }: m" ?
Vague concept, 模糊概念
; N- d' u) Z8 Z) [5 W0 cValidity, 有效性( I! n9 x1 x8 x+ O
VARCOMP (Variance component estimation), 方差元素估计
9 f7 y6 E' U- v0 j5 ?Variability, 变异性
q$ b6 w" a8 Q, e+ E( H7 HVariable, 变量
1 G% x3 V; m0 [& xVariance, 方差
, K9 H" n0 @# v. v3 RVariation, 变异
9 L: V4 R" x/ k1 ]- n( I& EVarimax orthogonal rotation, 方差最大正交旋转
. z( y5 p7 W. j% l/ i1 _0 u, DVolume of distribution, 容积, ?4 |# N. ^0 _3 I
W test, W检验
2 A ?: D' j3 i5 u8 L6 b0 G) EWeibull distribution, 威布尔分布
* H3 z9 `1 t: PWeight, 权数9 i8 U; X/ Q2 H- n H3 C
Weighted Chi-square test, 加权卡方检验/Cochran检验 f- k2 d0 n6 i* E. x5 K7 u
Weighted linear regression method, 加权直线回归8 Q6 S0 l2 g, m% L1 n/ C% S9 x+ a
Weighted mean, 加权平均数
: B- \! j7 D8 G$ T# w& [0 ~2 HWeighted mean square, 加权平均方差( I- @, c$ a; Y$ H/ q
Weighted sum of square, 加权平方和& c/ { @6 j% g9 Z9 w/ @* i' |
Weighting coefficient, 权重系数3 E. ~: _5 N( y( H& ^, K# X
Weighting method, 加权法
n% q2 d# N+ \' fW-estimation, W估计量2 e# ~; |2 B2 V8 Y
W-estimation of location, 位置W估计量
. k6 H* y. e. `7 y; r& K! ]0 E1 hWidth, 宽度
+ ^/ u* f" n$ Z! i* w* aWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
4 J+ t. B X# ? o& g' }Wild point, 野点/狂点% ~/ n3 b# x5 p; L
Wild value, 野值/狂值2 H; i5 k) S4 s! c
Winsorized mean, 缩尾均值
3 [2 z! Z4 \0 ^: x! [3 `Withdraw, 失访
/ J% A$ A- t# Y! v/ i* CYouden's index, 尤登指数
$ n% X6 l4 s- \9 JZ test, Z检验5 f1 F1 }: z3 L& E* i0 |! D
Zero correlation, 零相关
# ^) n1 y$ {; p$ GZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
